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TonyStarkD99
/
CLIP-Crop_Disease

Zero-Shot Image Classification
Transformers
Safetensors
clip
Model card Files Files and versions
xet
Community

Instructions to use TonyStarkD99/CLIP-Crop_Disease with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use TonyStarkD99/CLIP-Crop_Disease with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("zero-shot-image-classification", model="TonyStarkD99/CLIP-Crop_Disease")
    pipe(
        "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png",
        candidate_labels=["animals", "humans", "landscape"],
    )
    # Load model directly
    from transformers import AutoProcessor, AutoModelForZeroShotImageClassification
    
    processor = AutoProcessor.from_pretrained("TonyStarkD99/CLIP-Crop_Disease")
    model = AutoModelForZeroShotImageClassification.from_pretrained("TonyStarkD99/CLIP-Crop_Disease")
  • Notebooks
  • Google Colab
  • Kaggle
CLIP-Crop_Disease
609 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
TonyStarkD99's picture
TonyStarkD99
Upload processor
d9c1b50 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    5.17 kB
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  • config.json
    484 Bytes
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  • merges.txt
    525 kB
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  • model.safetensors
    605 MB
    xet
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  • preprocessor_config.json
    504 Bytes
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  • special_tokens_map.json
    588 Bytes
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  • tokenizer.json
    2.22 MB
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  • tokenizer_config.json
    743 Bytes
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  • vocab.json
    862 kB
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